MQLs are up and pipeline is flat

The short answerAlmost always the definition. An MQL built on form fills and email opens counts curiosity, and curiosity does not convert. Rebuild the definition on behaviour that precedes a closed deal in your own history, then check the handoff, because the second most common cause is qualification context that never reaches the rep.

Where the gap between MQL and pipeline opens

Definition built on form fillsCounts curiosity. Email opens stopped meaning anything years ago.Most common cause

No account contextOne person downloading is not a buying group showing intent.Score the account too

Qualification lost at handoffWhat marketing knew does not reach the rep, so the call starts cold.Quiet killer

Slow first touchHours versus days changes conversion more than scoring does.Measure the median

No rejection loopSales rejects, nobody reads why, the definition never improves.Cheapest fix

Never validatedThe model was set once at implementation and never checked against a closed deal.Do this quarterly

Where this ends up

Scoring the account, not just the person.

Kaypo weighs what the buying group is doing, replies, meetings, pricing visits and stage movement, so one form fill does not look like intent.

$99 a month, or free with the retainer

See how Kaypo works

# revenue, 7:00am

Northwind Health84 ▲

Cascadia Systems71 ▲

Meridian Labs38 ▼

Procurement joined the Northwind thread Tuesday

What this looked like in practice

$5M of net new surfaced

One company had rising MQL counts and flat pipeline. Repairing the source chain surfaced $5M of net new pipeline in the same year, sitting in accounts nobody had connected to a campaign.

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Questions

Why are our MQLs up but pipeline flat?

Usually the definition. An MQL built on form fills and email opens measures curiosity. Rebuild it on behaviour that preceded closed deals in your own history.

How do we validate our MQL definition?

Export last year of closed won and closed lost, compare the score each carried at creation, and check whether the averages actually differ.

Should marketing or sales own the MQL definition?

Both have to sign it, and one person has to own it. An unowned definition drifts until the two teams are measuring different things.

Want to talk it through?

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Why do our MQL numbers look great but pipeline stays flat?